[SYSTEMDS-1675] Add a new 2D depthwise transpose convolution layer

• Type: New Feature
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Fix Version/s: SystemML 0.15
• Epic Link: Deep Learning DML Library
• Sprint: Sprint 1
• Assignee: Mike Dusenberry
• Reporter: Mike Dusenberry
• Created: 09/Jun/17 20:12
• Updated: 09/Sep/17 05:07
• Resolved: 19/Jun/17 20:56

Description

A depthwise transpose convolution (1) applies a different filter to each unique group of M input channels separately, thus condensing each group of M input channels to 1 output channel, and (2) concatenates the results into a single volume with C/M output channels. This is in contrast to a regular 2D transpose convolution, in which all of the filters would be applied to all of the input channels at once.